Digital twins are a virtual representation of a physical object. It can incorporate real-time data collected from sensors on the object and enable near real-time simulation of the behavior and monitoring of process. Digital twins allow computers to represent many real-world entities, from a single sensor in a vehicle to full installations, such as roads, vehicles and even urban environments. Digital twin technology allows you to have a better view of the performance of a sensor, identify potential risks, and make better informed planning about facilities. Thus this workshop will address the application of digital twins to navigation and mobility. On the other hand, HD maps provide detailed map information for navigating autonomous vehicles to ensure the navigation safety to protect human lives. The map itself serves as an additional “pseudo sensor” of the car and it significantly enhances the performance and accuracy of perception and positioning algorithms, which are necessary for the vehicle to drive autonomously. Among those available HD formats, certain open source formats including Lanelet 2 and Opendrive have attracted more attention and bring fruitful applications in autonomy world. Therefore, this workshop will also address the contributions of those open source empowered HD Maps and their applications for autonomy.